Cited 8 times in
출혈성 쇼크를 일으킨 흰쥐에서 인공신경망과 지원벡터기계를 이용한 생존율 비교
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 권민경 | - |
dc.contributor.author | 김덕원 | - |
dc.contributor.author | 남기창 | - |
dc.contributor.author | 장경환 | - |
dc.contributor.author | 최재림 | - |
dc.date.accessioned | 2014-12-20T16:45:50Z | - |
dc.date.available | 2014-12-20T16:45:50Z | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 1229-6392 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/93332 | - |
dc.description.abstract | shock makes it possible for physician to treat successfully. The objective of this paper was to select an optimal classifier model using physiological signals from rats measured during hemorrhagic experiment. This data set was used to train and predict survival rate using artificial neural network (ANN) and support vector machine (SVM). To avoid over-fitting, we chose the best classifier according to performance measured by a 10-fold cross validation method. As a result, we selected ANN having three hidden nodes with one hidden layer and SVM with Gaussian kernel function as trained prediction model, and the ANN showed 88.9 % of sensitivity, 96.7 % of specificity, 92.0 % of accuracy and the SVM provided 97.8 % of sensitivity, 95.0 % of specificity, 96.7 % of accuracy. Therefore, SVM was better than ANN for survival prediction. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 107~115 | - |
dc.relation.isPartOf | Journal of the Institute of Electronics and Information Engineers of Korea (전자공학회논문지) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Animals | - |
dc.subject.MESH | Early Diagnosis | - |
dc.subject.MESH | Incidence | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Neural Networks (Computer)* | - |
dc.subject.MESH | Pattern Recognition, Automated/methods* | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Proportional Hazards Models* | - |
dc.subject.MESH | Rats | - |
dc.subject.MESH | Rats, Sprague-Dawley | - |
dc.subject.MESH | Risk Assessment/methods | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Shock, Hemorrhagic/mortality* | - |
dc.subject.MESH | Support Vector Machine* | - |
dc.subject.MESH | Survival Analysis* | - |
dc.subject.MESH | Survival Rate | - |
dc.title | 출혈성 쇼크를 일으킨 흰쥐에서 인공신경망과 지원벡터기계를 이용한 생존율 비교 | - |
dc.title.alternative | Comparison of Survival Prediction of Rats with Hemorrhagic Shocks Using Artificial Neural Network and Support Vector Machine | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Medical Engineering (의학공학) | - |
dc.contributor.googleauthor | 장경환 | - |
dc.contributor.googleauthor | 유태근 | - |
dc.contributor.googleauthor | 남기창 | - |
dc.contributor.googleauthor | 최재림 | - |
dc.contributor.googleauthor | 권민경 | - |
dc.contributor.googleauthor | 김덕원 | - |
dc.identifier.doi | 10.1109/IEMBS.2011.6089904 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00216 | - |
dc.contributor.localId | A00376 | - |
dc.contributor.localId | A01242 | - |
dc.contributor.localId | A03422 | - |
dc.contributor.localId | A04171 | - |
dc.relation.journalcode | J01784 | - |
dc.identifier.pmid | 22254258 | - |
dc.subject.keyword | Artificial neural networks, | - |
dc.subject.keyword | Support vector machines, | - |
dc.subject.keyword | Predictive models, | - |
dc.subject.keyword | Hemorrhaging, | - |
dc.subject.keyword | Electric shock, | - |
dc.subject.keyword | Accuracy, | - |
dc.subject.keyword | Neurons | - |
dc.contributor.alternativeName | Kwon, Min Kyung | - |
dc.contributor.alternativeName | Kim, Deok Won | - |
dc.contributor.alternativeName | Nam, Ki Chang | - |
dc.contributor.alternativeName | Jang, Kyung Hwan | - |
dc.contributor.alternativeName | Choi, Jae Lim | - |
dc.contributor.affiliatedAuthor | Kwon, Min Kyung | - |
dc.contributor.affiliatedAuthor | Kim, Deok Won | - |
dc.contributor.affiliatedAuthor | Nam, Ki Chang | - |
dc.contributor.affiliatedAuthor | Jang, Kyung Hwan | - |
dc.contributor.affiliatedAuthor | Choi, Jae Lim | - |
dc.rights.accessRights | free | - |
dc.citation.volume | 48 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 107 | - |
dc.citation.endPage | 115 | - |
dc.identifier.bibliographicCitation | Journal of the Institute of Electronics and Information Engineers of Korea (전자공학회논문지), Vol.48(2) : 107-115, 2011 | - |
dc.identifier.rimsid | 27140 | - |
dc.type.rims | ART | - |
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